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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Account Objects | 8% | - Organizations and accounts structure - Warehouses, databases, and schemas hierarchy - Resource monitors |
| Topic 2: Performance Optimization & Monitoring | 4% | - Query profiling and performance tuning - Query history and monitoring - Resource optimization techniques |
| Topic 3: Time Travel & Cloning | 10% | - Zero-copy cloning - Time travel concepts and retention - Fail-safe concepts - UNDROP and historical data access |
| Topic 4: Semi-Structured Data | 10% | - Array and object operations - Parsing and flattening semi-structured data - VARIANT data type |
| Topic 5: Security & Access Control | 10% | - Authorization (roles, privileges) - Governance best practices - Masking policies - Row-level and column-level security - Authentication (SSO, MFA) |
| Topic 6: Virtual Warehouses | 15% | - Warehouse monitoring and troubleshooting - Warehouse creation and configuration - Multi-cluster warehouses - Warehouse sizing and scaling - Cache concepts (warehouse, result, metadata) |
| Topic 7: Cloud Platform Overview & Snowflake Key Concepts | 8% | - Snowflake architecture layers (storage, compute, services) - Snowflake editions and features - Virtual warehouse concepts and credit usage |
| Topic 8: Data Loading & Unloading | 15% | - Bulk loading with COPY command - Continuous loading with Snowpipe - Data ingestion best practices - File formats (JSON, CSV, Parquet, AVRO) - Data unloading and staging |
| Topic 9: Data Sharing | 12% | - Data listing marketplace - Shares and reader accounts - Reader account management - Private sharing vs. Data Exchange |
| Topic 10: Databases, Tables & Views | 18% | - Table types (permanent, transient, temporary) - Clustering and micro-partitions - Column types and sequences - Stored procedures and UDFs - Data manipulation (DML operations) - Views (standard, materialized, secure) |
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NEW QUESTION # 404
Network policies can be set at which Snowflake levels? (Choose two.)
Answer: B,E
Explanation:
Network policies in Snowflake can be set at the user level and at the account level2.
Reference: https://docs.snowflake.com/en/user-guide/network-policies.html#creating-network-policies
NEW QUESTION # 405
Which Snowflake SQL statement would be used to determine which users and roles have access to a role called MY_ROLE?
Answer: D
Explanation:
The SQL statement SHOW GRANTS TO ROLE MY_ROLE is used to determine which users and roles have access to a role called MY_ROLE. This statement lists all the privileges granted to the role, including which roles and users can assume MY_ROLE.References:[COF-C02] SnowPro Core Certification Exam Study Guide
NEW QUESTION # 406
When a multi-cluster virtual warehouse is using an Economy scaling policy, when will an additional cluster be automatically started to handle queued queries?
Answer: D
Explanation:
The correct answer is D. When the system estimates that there is enough query load to keep the new cluster busy for at least 6 minutes .
In Snowflake, a multi-cluster warehouse can use either a Standard or Economy scaling policy. The Economy scaling policy is more conservative. It starts additional clusters only when Snowflake estimates that the extra cluster will have enough work to justify the additional compute cost.
Why D is correct:
With the Economy scaling policy, Snowflake starts another cluster only if the system estimates there is enough query load to keep the new cluster busy for approximately 6 minutes. This helps reduce credit consumption by avoiding unnecessary short-lived cluster starts.
Why the other options are incorrect:
A). The condition is not based on all active clusters running queries for more than 6 minutes.
B). A single queued query for more than 6 minutes is not the exact Economy scaling rule.
C). The rule is not specifically based on 3 or more queued queries.
D). This matches Snowflake's documented behavior for the Economy scaling policy.
Official Snowflake documentation reference:
Snowflake documentation explains that the Economy scaling policy conserves credits by starting additional clusters only when Snowflake estimates enough query load exists to keep the cluster busy for at least 6 minutes.
Reference: Snowflake Documentation - Multi-cluster warehouses; Snowflake Documentation - Scaling policy; SnowPro Core Study Guide - Virtual Warehouses and Resource Management.
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NEW QUESTION # 407
In which Snowflake layer does Snowflake reorganize data into its internal optimized, compressed, columnar format?
Answer: A
Explanation:
Snowflake reorganizes data into its internal optimized, compressed, columnar format in the Database Storage layer.This process is part of how Snowflake manages data storage, ensuring efficient data retrieval and query performance
NEW QUESTION # 408
Which statement describes Snowflake tables?
Answer: D
Explanation:
In Snowflake, tables represent a logical structure through which users interact with the stored data. The actual physical data is stored in micro-partitions managed by Snowflake, and the logical table structure provides the means by which SQL operations are mapped to this data. This architecture allows Snowflake to optimize storage and querying across its distributed, cloud-based data storage system.References: Snowflake Documentation on Tables
NEW QUESTION # 409
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